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Vega software is widely used for infrared simulation. This study proposes a method for evaluating the effect of infrared objective stealth based on Vega software combined with image feature point matching technique. Vega software is used to simulate a group of infrared images before and after target stealth. Afterwards, feature points are acquired from the target images. Hausdorff distance between...
This paper presents a hierarchical feature extraction technique for non-stationary time-series data that is considered to be a slow-time scale mixture of time-series segments which are quasi-stationary at a faster time-scale. The problem is to model an unknown number of unique stationary segments at the low level while capturing their switching characteristics at a higher level. Symbolic Dynamic Filtering...
Novelty detection based on cross validation was proposed to detect the damage of the cluster of medium and minor bridges under the effect of environmental factors. The effectiveness of this method was tested through the numerical example of one bridge group that was composed of five similar bridges. Meanwhile, advantages and disadvantages of this method were discussed by comparing the effectiveness...
Procedural textures have been widely used as they can be easily generated from various mathematical models. However, the model parameters are not perceptually meaningful or uniform for non-expert users. In this paper, we proposed a system that can generate procedural textures interactively along certain perceptual dimensions. We built a procedural texture dataset and measured twelve perceptual properties...
Today's system developers and operators face the challenge of creating software systems that make efficient use of dynamically allocated resources under highly variable and dynamic load profiles, while at the same time delivering reliable performance. Benchmarking of systems under these constraints is difficult, as state-of-the-art benchmarking frameworks provide only limited support for emulating...
Effective use of feature set and selection of a suitable classification method are significant for improving classification accuracy. However, mammogram images classification is affected by many factors such as additive gaussian noise, low contrast and artifacts. Therefore, the aim of this paper is to observe the impact of presence /absence of noise on the quality and classification accuracy of mammogram...
Non-negative matrix factorization (NMF) has become a popular tool for exploratory analysis due to its part based easy interpretable representation. Sparseness is commonly invoked in NMF (SNMF) by regularizing by the l1 - norm both to alleviate the non-uniqueness of the NMF representation as well as promote sparse (i.e. part based) representations. While sparseness can prune excess components thereby...
Digital fundus images are commonly used for computer aided diagnosis of different eye disease such as diabetic retinopathy, glaucoma, age related macular degeneration. One issue with fundus cameras is that they provide fundus image only for a small field of view (FOV). This paper presents a novel method to increase the FOV by stitching different fundus images from same patient. The proposed system...
Enhancement of text information from the images captured by mobile camera is a very challenging task due to the high variation between the background and the foreground that contains shadows, poor contrast and non uniform illumination. In this paper, denoising along with binarization algorithm that uses phase congruency features is proposed to extract the text information from the document images...
This paper proposes a new Subspace State Estimator (SSE) algorithm for facial biometric verification. In the proposed method, a sequential estimator is being designed in the image subspace which addresses the challenges due to nonlinear, no stationary, and heterogeneous noise. The proposed model includes a subspace method that overcomes the computational complexity associated with the sequential estimator...
The aim of this study is to evaluate a new method for seizure detection using the tripolar Laplacian electroence-phalography signal (tEEG) recorded using a tripolar concentric ring electrode (TCRE) on the scalp surface of rats based on empirical mode decomposition (EMD) and time-frequency energy concentration. Data from 10 rats were examined with the proposed algorithm. After EMD decomposition, three...
With the rapid development of microblog, the research of topic detection has been paid more attention, which has begun to transfer from the traditional news media to microblog. However, compared with the traditional fields where topic detection applied, the microblogging data is written informally and the structure of that is not rigorous, which will bring great difficulties. In the process of topic...
The proposed algorithm in this paper is capable of classifying not only unusual speech when people get anger, surprised, or excited but also unusual noise such as clashing, hitting, or clapping in real-time without depending on particular speaker voices or utterances. Also, it does not require a prior learning process to construct acoustic models. This algorithm, therefore, allows a surveillance camera...
We present a non-rigid object matching algorithm based on hyper graph method. Previous work has achieved good performance for rigid object matching. However, because of deformation and wrinkle, existing algorithms cannot solve non-rigid object matching problem effectively. This paper mainly focuses on matching patterns on cloth which often deforms greatly. First, we extract stable regions from the...
This study addresses a method to simulate cloth 3D attributes by analyzing and extracting its dynamics image, and correspondingly mathematically reshape its original configuration. Comparing the simulate cloth 3D wrinkle boundary and its original image, we may optimize the simulation by integrating the cloth 3D geometric configuration and motion dynamics with an efficient genetic algorithm. In addition,...
Unmanned Air Vehicles (UAVs) have become an intelligent asset for surveillance, target tracking and reconnaissance in both urban and battlefield settings. This paper gives a framework for scale weight selection during feature extraction in aerial images from UAV. Dual-Tree Complex Waveform technique is used to extract rich feature descriptors of keypoints in images so that full phase and amplitude...
In order to quickly and exactly extract the subpixel image edge, a new method of subpixel image edge based on Fourier-Mellin moment is proposed. Firstly all possible edge points were detected quickly with using Fourier-Mellin moment operator with mask size of 3×3, secondly a Fourier-Mellin moment operator with mask size of 7×7 was used to relocate the edge with subpixel accuracy. Experiment results...
In this paper we have used the most useful processing and analysis methods to classify two congenital heart defects. The most important congenital valve disease is the congenital aort stenosis(AS) and of septum diseases is Ventricular Septal Defect(VSD). In this research, we managed to fuzzy classification of three groups of healthy, and AS, and VSD patients with the use of PCG.
This paper is concerned with the detection of road paths and drivable surfaces in different images under non-uniform light condition using simple coordinate logic filters. Road images taken in the campus have been used to test the algorithm. First the image samples are segregated into different segments depending on the intensity. Subsequently coordinate logic detectors are applied to extract the...
In this paper we present a novel noise reduction method using Coordinate Logic (CL) filters applied to printed text and handwriting images. CL Filters and their associated Coordinate Logic Operations (CLOs) are widely used in common practical image process applications like noise removing, magnification, opening, closing, skeletonization, coding, edge detection, feature extraction, and fractal modeling...
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